Service Delivery Center, AI & Data, Machine Learning Engineer (MLE) - Senior

Location: Manayunk, Charlotte, San Antonio, Jacksonville, Alpharetta At EY, we’re all in to shape your future with confidence. We’ll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world. Senior Analyst – Financial Services Organization – AI and Data – Service Delivery Center EY is the only professional services firm with a separate business unit (FSO) that is dedicated to the financial services marketplace. Our FSO teams have been at the forefront of every event that has reshaped and redefined the financial services industry. This practice also has several Service Delivery Centers that are made up of high-performing US‑based resources who work closely with our experienced client‑serving professionals to deliver project‑based work and managed services to our US‑based Financial Services clients. If you have a passion for rallying together to solve the most complex challenges in the financial services industry, come join our dynamic FSO team! Opportunity You’ll architect and deploy production‑grade AI agents and multi‑agent systems that transform financial services. Working with cutting‑edge LLMs and agentic frameworks, you’ll build autonomous systems that process millions of transactions, make intelligent decisions, and continuously learn from real‑world financial data. This is your chance to shape how AI reshapes global finance. What You’ll Do Build Autonomous Financial AI Systems Design and implement multi‑agent architectures using LangChain, AutoGen, or CrewAI for complex financial workflows. Deploy production‑ready LLMs fine‑tuned for financial domain expertise (loan underwriting, risk assessment, regulatory compliance). Create RAG (Retrieval‑Augmented Generation) systems that connect AI agents to enterprise knowledge bases and real‑time market data. Implement agentic reasoning systems capable of autonomous decision‑making within regulatory boundaries. Scale AI Solutions for Enterprise Impact Deploy AI agents serving millions of customers with sub‑second latency requirements Build robust MLOps pipelines for continuous model improvement and A/B testing Implement comprehensive monitoring and observability for autonomous systems Optimize inference costs while maintaining performance SLAs Drive Innovation in Financial AI Prototype breakthrough applications: AI‑powered trading assistants, autonomous compliance monitors, intelligent fraud detection agents Collaborate with financial domain experts to translate complex regulations into AI agent behaviors Contribute to EY’s AI research initiatives and patent applications Present solutions to C‑suite executives at major financial institutions Technical Requirements Core Skills (Must‑Have) 3‑5 years of Python programming with production deployment experience Hands‑on experience with LLMs: GPT‑4, Claude, Llama, or similar foundation models Agentic AI frameworks: LangChain, AutoGen, CrewAI, or similar multi‑agent orchestration tools Vector databases: Pinecone, Weaviate, or Chroma for semantic search at scale Cloud platforms: AWS SageMaker, Azure OpenAI Service, or Google Vertex AI MLOps practices: Model versioning, A/B testing, drift detection, and continuous deployment Preferred Skills (Nice‑to‑Have) Experience with financial services applications (trading, risk, compliance, or banking) Knowledge of prompt engineering and in‑context learning optimization Familiarity with model fine‑tuning techniques (LoRA, QLoRA, PEFT) Understanding of AI safety practices and responsible AI frameworks Experience with real‑time streaming architectures (Kafka, Flink) Contributions to open‑source AI projects Good written and verbal communication skills A willingness and ability to travel at 0%‑25% Valid driver’s license in the US Valid passport Ideally, you’ll also have Certification in any database management system, reporting or data visualization, or programming/statistical language Working knowledge or certifications in cloud technologies such as Snowflake, Databricks, AWS, or Azure Experience with generative AI models and techniques, including GANs and Transformers Understanding of the ethical implications of generative AI and commitment to responsible AI practices What we look for We’re interested in professionals that are passionate about technology, who already have an understanding of data and are comfortable analyzing or manipulating it while generating reports for clients. You’ll also need to be able to clearly articulate both problems and proposed solutions, and have the willingness to learn and quickly adapt to changing requirements. On top of this, we’re looking for team players and hard workers who are not afraid to take initiative to master their craft and produce high‑quality work. If you have a proactive approach and want to be part of a group that continues to grow significantly, this role is for you. What working at EY offers We offer a competitive compensation package where you’ll be rewarded based on your performance and recognized for the value you bring to our business. In addition, our Total Rewards package includes medical and dental coverage, both pension and 401(k) plans, a minimum of 15 days of vacation plus ten observed holidays and three paid personal days, and a range of programs and benefits designed to support your physical, financial, and social well‑being. Plus, we offer: Opportunities to develop new skills and progress your career Support and coaching from some of the most engaging and knowledgeable colleagues A collaborative environment where everyone works together to create a better working world Excellent training and development prospects Compensation & Benefits The base salary range for this job in all geographic locations in the US is $65,500 to $134,000. The base salary range for the NewYorkCity Metro Area, WashingtonState and California (excluding Sacramento) is $78,600 to $152,100. Individual salaries within those ranges are determined through a wide variety of factors including but not limited to education, experience, knowledge, skills and geography. In addition, our Total Rewards package includes medical and dental coverage, pension and 401(k) plans, and a wide range of paid time off options. Join us in our team‑led and leader‑enabled hybrid model. Our expectation is for most people in external, client‑serving roles to work together in person 40‑60% of the time over the course of an engagement, project or year. Under our flexible vacation policy, you’ll decide how much vacation time you need based on your own personal circumstances. You’ll also be granted time off for designated EY Paid Holidays, Winter/Summer breaks, Personal/Family Care, and other leaves of absence when needed to support your physical, financial, and emotional well‑being. Equal Employment Opportunity Statement EY provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, genetic information, national origin, protected veteran status, disability status, or any other legally protected basis, including arrest and conviction records, in accordance with applicable law. Accommodation Statement EY is committed to providing reasonable accommodation to qualified individuals with disabilities including veterans with disabilities. If you have a disability and either need assistance applying online or need to request an accommodation during any part of the application process, please call 1‑800‑EY‑HELP3, select Option2 for candidate related inquiries, then select Option1 for candidate queries and finally select Option2 for candidates with an inquiry which will route you to EY’s Talent Shared Services Team (TSS) or email the TSS at View email address on click.appcast.io. #J-18808-Ljbffr